Article: The Crystal Ball: AI Predictive Analytics in Arbitration: Navigating Promise, Pitfalls, and Paradigm Shifts

Abstract

The article discusses the increasing role of artificial intelligence (AI) in international arbitration, noting its potential to make the process more efficient and data-driven through predictive analytics and machine learning. However, AI may struggle with the complexities of arbitration, such as witness credibility and arbitrator biases, which are difficult to quantify. There are also risks like over-reliance on AI and potential impacts on due process. To responsibly integrate AI, certain strategies are suggested, such as developing ethical guidelines, enhancing AI literacy, implementing disclosure requirements, and ensuring human oversight. The need to preserve core values such as fairness, justice, and transparency is stressed. As AI becomes more prevalent, arbitration practitioners must adapt by acquiring new skills and focusing on a balanced approach that combines AI with human judgment. This balance is crucial to enhancing the arbitration process while maintaining its integrity and fairness.